https://github.com/emilemathieu/imageclassificationchallenge
https://github.com/emilemathieu/imageclassificationchallenge
Last synced: 10 months ago
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- Host: GitHub
- URL: https://github.com/emilemathieu/imageclassificationchallenge
- Owner: emilemathieu
- Created: 2017-03-12T21:43:53.000Z (over 9 years ago)
- Default Branch: master
- Last Pushed: 2017-03-12T21:50:11.000Z (over 9 years ago)
- Last Synced: 2025-05-15T02:11:37.414Z (about 1 year ago)
- Language: Python
- Size: 34.2 MB
- Stars: 1
- Watchers: 1
- Forks: 3
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Kernel Image Classification Challenge
By Emile Mathieu & Thomas Pesneau
Code for the Challenge: https://inclass.kaggle.com/c/kernel-methods-for-machine-learning-data-challenge
Numpy, pandas and scipy are required
Files 'Xtr.csv', 'Xte.csv' and 'Ytr.csv' must be in the same folder as 'start_cnn.py' or 'start_kmeans.py'.
Then run
`python start_kmeans.py` (yields ~58% in ~5-10mn)
`python start_cnn.py` (yields ~52% in ~5-10mn)
For best performance (yields ~62% but take ~30mn), run
`python start_kmeans.py best`